Last updated: April 2019 Module Manual Master Simulation

Engineering
Course
Abbreviations:
sem. = semester WS = winter semester; SS = summer semester SWS = credit hours per week ECTS = credits according to the European Credit Transfer System SET = Simulation and Experimental Engineering; ME = Mechanical Engineering; IWI = International Industrial Engineering
Last updated: April 2019
c) Exercise 1 SWS
can characterise, classify and set optimisation assignments in an engineering context,
are able to select optimisation algorithms for unrestricted and restricted optimisation depending on
the case to solve and assess them regarding global and local convergence,
can apply fundamental optimisation methods algorithmically in MATLAB®, Scilab or Octave and
critically assess the numerical results.
2 Contents
are e.g.
the approximation of functions for finite element methods to solve differential equations and to
simulate mechanical systems,
the regression of data records to empirically analyse cause-effect principles,
statistical estimations on image-based error detection in production plants or
geometric cases, such as the calculation of the shortest way for navigation.
Mathematical optimisation theory deals with all kinds of different cases in a consistent framework, i.e. the
minimisation of a suitable target function or quality function, possibly under given boundary conditions.
Numerical optimisation methods are derived and analysed to solve optimisation cases practically
within the theoretical framework, independent of concrete application. The lecture teaches the
main results of optimisation theory and provides an overview of the most important optimisation
algorithms.
The course focuses on methods based on Gradient’s and Newton’s approaches to solve convex
minimisation cases as well as on non-linear problems and stochastic optimisation.
It deals with how to set an optimisation assignment appropriately, how to apply optimisation tools
and analyse the results.
It also includes application of the methods discussed in the computer laboratory in MATLAB®,
Scilab or Octave as well as tests on practical examples.
3 Forms of teaching
Presentation using presentation techniques suitable for mathematical and technical contents (a)
Practical application of methods in MATLAB®, Scilab or Octave and experiments on sample
cases (b)
(c)
5 Types of examination
Work on cases in the context of practical training (= 20 %)
6 Requirements for award of credits
Passed module examination
Dr. Frank Eckgold
Recommended literature:
https://web.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf
Jarre/Stoer, Optimierung, Springer, 2004
Liu, Monte Carlo Strategies in Scientific Computing, Springer, 2001
Geiger/Kanzow, Numerische Verfahren zur Lösung unrestringierter Optimierungsaufgaben,
Springer, 1999
Credits
design parameter variations and optimisation cases in practical experiments and computer
simulations in a targeted and efficient manner – to gain the envisaged insight at the lowest
possible effort,
describe and evaluate the methods used to analyse technical systems as well as their
advantages and disadvantages – particularly the characteristics of DoE experimental designs,
explain relevant technical terms,
apply statistical methods to plan and conduct experiments and to evaluate the measurement
results,
given boundary conditions – using relevant software tools such as STATISTICA.
2 Contents
method, grid cell method, statistical design of experiments (DoE), Simplex, EVOP, neuronal
networks
Statistics
o Fundamentals: means, standard deviation, frequency distribution and how to graphically
illustrate them
o Spread measurement results in experiments with consistent boundary conditions, true
value on a specific point, confidence interval, scope
o True difference between the experiment results on two specific experiment points, effect,
noise, confidence interval of effects, statistical significance
o Representativity, homoscedasticity, outliers, autocorrelation, data transformation
Design of Experiments (DoE)
o Different kinds of experiment designs: full factorial designs, blocking, factorial designs,
screening designs, factorial designs with a central point, central composite designs,
designs influenced by categorical and continuous variables, D-optimal designs
o Design, execution and evaluation of experiments: target value, variables, normalisation of
the variables, experimental design, randomised execution of the experiments, regression
function with total, main effect and interaction, significance check, lack-of-fit test as well
as prognosis and observation graphics, visualisation of the results, e.g. effect diagrams,
polyoptimisation
o Operation and use of relevant software tools such as STATISTICA to support the
methodology
Exemplary experiments and simulations (c)
4 Recommended prerequisites
According to the syllabus
Written examination (duration: 60 min.) or oral examination (duration: 20 min.)
The applicable type of examination will be announced at the beginning of the course. (= 65 %)
Independent planning, execution and evaluation of a DoE experiment (experiment or simulation)
and written documentation of the results (= 35 %)
Attending the practical training
Prof. Dr.-Ing. Mario Adam
8 Language of instruction
Recommended literature (latest edition):
Siebertz et al, Statistische Versuchsplanung – Design of Experiments (DoE), Springer
Liebscher, Anlegen und Auswerten von technischen Versuchen – eine Einführung, Fortis FH
Scheffler, Statistische Versuchsplanung und -auswertung – eine Einführung für Praktiker,
Deutscher Verlag für Grundstoffindustrie
Credits
handle hardware and software (i.e. calibration of accelerometers and microphones or
oscilloscopes),
verify overall levels in time and frequency domains (Parseval theorem),
use correlation measurement technique and know the concept of coherence, phase spectrum
and time delay.
2 Contents
Overview of the typical measure principles for measurement of position, flow and current, pressure, sound pressure and vibration
Data acquisition, sampling-rate
3 Forms of teaching
Practical computer training (Dasylab, MATLAB, Scilab, PAK), discussing the experiments
Practical training with digital oscilloscopes
Passed examination (feedback talk)
Prof. Dr.-Ing. Frank Kameier
duesseldorf.de/Vorlesung/master/
Processing, 3rd edn, Berlin 2013
Credits
1 Learning outcomes / competences
The attendees have acquired a basic understanding of and the ability to apply CFD to solve engineering
problems. They are aware of relevant potentials, limitations and challenges. They are familiar with and have
a deep understanding of
the differential equations that describe the transport of momentum, heat and mass in Newtonian
fluids,
their boundary conditions for a single-phase, steady or unsteady as well as compressible or
incompressible flow.
different physical flow states with corresponding mathematical and numerical implications,
flow turbulence and turbulence modelling,
discretisation principles, gridding techniques and numerical solution procedures including the
intricacies involved in modelling highly connective flows and Navier-Stokes solution techniques.
At the end of the course, the attendees are able to apply a general-purpose CFD software to solve technical
problems involving a laminar or turbulent single-phase flow, with or without heat transfer, and analyse the
results competently. Furthermore, the attendees are able to follow the course and communicate in English.
2 Contents
The role of CFD in solving engineering problems
Review of the relevant basic knowledge
Derivation of the unsteady, three-dimensional differential balance equations for a fluid
Discussion of the physical and mathematical meanings of the terms and their interrelationship
Boundary conditions
Main ingredients of a numerical solution method
Overview of grid generation
methods
Discretisation of the general transport equation by the method of finite volumes
Accuracy estimation
Direct and iterative methods for the solution of the discretisation equations
Convergence control
Unstructured meshes
Pressure correction and other methods for treating velocity-pressure coupling in solving the Navier-
Stokes equations for incompressible and compressible flows
Turbulent flows with and without heat transfer
Turbulence modelling
Lecture, seminar, discussion, independent elaboration (in oral or written form)
Bachelor’s degree in mechanical engineering (or in a related discipline), fluid mechanics, heat transfer,
mathematics, differential equations, English
Practical training (oral examination) (= 20 %)
Passed examination
Prof. Dr.-Ing. Ali Cemal Benim
Hirsch, Numerical Computation of Internal and External Flows, Volume I: Fundamentals of
Discretization, Wiley, 1994
Hirsch, Numerical Computation of Internal and External Flows, Volume II: Computational Methods
for Inviscid and Viscous Flows, Wiley, 1995
Courses (a) Lecture 3 SWS (b) Practical Training 2 SWS
Credits
The participants have a solid understanding of and scientific insight into the mathematical foundations of
computational engineering – including numerical and algorithmic aspects of modern software tools.
Moreover, the participants have acquired competences and skills to solve typical problems of the engineering
routine by means of advanced engineering mathematics.
2 Contents
aspects)
methods and algorithmic aspects)
2D and 3D)
3 Forms of teaching
Lecture, exercise, seminar, discussion
mechanics
Assessment in two parts according to the following weighting for the final grade:
I. Worked and defended practical (= 30 %)
II. Written examination (duration: 90 min.) (= 70 %)
The students must pass each of the two parts with a minimum of 50 % of the used grading scheme.
Passed examination (100 %)
Prof. Dr.-Ing. habil. Martin Ruess
Heating and Cooling – Renewable Energies, Combustion, Heat and Mass Transfer
Electrical Power – Conversion, Storage, Distribution
Environment – Noise Protection, Measurement Technology Air
Specialisation: Environmental and Process Technology
Computer-Aided Process and Process Plant Design
Energy and Environmental Process Optimisation
Environment – Noise Protection, Measurement Technology Air
Heating and Cooling – Renewable Energies, Combustion, Heat and Mass Transfer
Module number 21001
Workload 180 h
describe energy-efficient device and system solutions for technical plants producing heating and
cooling from renewable energies and assess the properties and specifics of such solutions,
assess the structure and hydraulics of plants, i.e. identify typical weak points in planning and
implementation and suggest energy-efficient alternatives,
analyse and assess practical operations using measurement data and distinguish between
properties relevant for practice and results from measurements in the laboratory,
apply their knowledge to specific applications abroad, especially in emerging and developing countries.
Furthermore the attendees can analyse
engineering problems in heat and mass transfer involving two-phase flows with phase change and
the combustion of liquid and solid fuels and have knowledge on the firing systems on such fuels.
2 Contents
Heating and cooling using renewable energies and efficiency technologies o Solar technology: larger solar systems for apartment buildings, building heating and
process heating, (thermal and electric) solar cooling o (reversible) heat pumps and refrigerating machines: cycles, geothermics, passive cooling o Biomass: boiler, cogeneration o Heat and cold storage: technologies, hydraulic integration o Heat and cold distribution, heat and cold transfer o Energy-efficient overall concepts for different fields of application (best practice
examples)
Combustion of liquid fuels, combustion of solid fuels
3 Forms of teaching
Seminar-like instruction, presentations (c)
engineering (or in a relevant discipline)
Relevant knowledge from the fields of renewable energies and efficiency technologies on a
bachelor’s programme level
Written examination (multiple choice) (duration: 90 min.) or oral examination (duration: 30 min.)
The applicable type of examination will be announced at the beginning of the course.
Passed module examination / passed examination
7 Person responsible for the module
Prof. Dr.-Ing. Mario Adam, Prof. Dr.-Ing. Ali Cemal Benim
Quaschning, Regenerative Energiesysteme, Hanser
Wesselak/Schabbachm, Regenerative Energietechnik, Springer
Peuser et al, Solare Trinkwassererwärmung mit Großanlagen – praktische Erfahrungen, Bine
Fisch et al, Solarstadt – Konzepte, Technologien, Projekte, Kohlhammer
Bollin et al, Solare Wärme für große Gebäude und Wohnsiedlungen, Fraunhofer IRB
Ochsner, Wärmepumpen in der Heizungstechnik: Praxishandbuch für Installateure und Planer,
C.F. Müller
Bockelmann et al, Erdwärme für Bürogebäude nutzen, Fraunhofer IRB
Urbaneck, Kältespeicher, Oldenbourg
Baehr/Stephan, Wärme-und Stoffübertragung, Springer, 2008
Incropera/DeWitt/Bergman/Lavine, Fundamentals of Heat and Mass Transfer, Wiley, 2011
Dolezal, Dampferzeugung: Verbrennung, Feuerung, Dampferzeuger, Springer, 1985
Module number 21011
Workload 180 h
understand and assess technical and economic interdependencies between energy carriers,
energy conversion systems, energy storage systems and energy distribution systems,
solve complex tasks to determine balances and factors improving performance and efficiency as
well as check plausibility,
dimension processes for thermal power plants and their components, discuss deviations from
common results.
2 Contents
National supply structures
Layout of power plants
Grid stability
power plant engineering
Written examination (duration: 120 min.) or oral examination (duration: 30 min.)
Partial examination in the form of a presentation or written assignment possible
The applicable type, scope and extend of examination will be announced at the beginning of the
course.
Prof. Dr.-Ing. Franziska Schaube
Module number 21021
The students
have in-depth knowledge of air pollutant and noise measurement by official authorities,
have in-depth knowledge of measurement systems for air pollutants and noise used in research,
have learned how to familiarise with specific methods to measure air pollutants and solve
measurement tasks independently,
have learned how to analyse research assignments in environmental metrology and solve them
using state-of-the-art measurement technology,
know the physical basics and practical limitations of immission and simulation models for air
pollutants and noise,
2 Contents
Measurement methods used in practice in accordance with legal provisions for measuring air
pollutants
Innovative measurement methods used and further developed in the environmental metrology
laboratory at the Faculty of Mechanical and Process Engineering
Measurement and assessment of noise over time and frequencies
Measurement of meteorological parameters in addition to and for the assessment of air pollutant
and noise immission
Advanced particulate measurement
Legal basis, norms and regulations
Current research work at the environmental metrology laboratory at the faculty
3 Forms of teaching
Bachelor’s degree
Prof. Dr. Konradin Weber, Prof. Dr. Frank Kameier
9 Further information / references
Material and publications of the environmental metrology laboratory at the faculty
Werner/Klein/Weber, Laser in der Umweltmesstechnik, Springer
Schrimer/Kuttler/Löbel/Weber, Lufthgiene und Klima, VDI
Baumbach, Luftreinhaltung, Springer
Sinambari/Sentpali, Ingenieurakustik: Physikalische Grundlagen und Anwendungsbeispiele,
Springer Fachmedien, Wiesbaden
Module number 21101
Workload 180 h
Credits
The students
have developed a fundamental understanding of the potential and limitations of process
simulation models and programs,
can split a given process-related task into modules and develop a suitable production line,
are able to determine physical properties and thermodynamic substance data in a suitable
manner in a given substance system,
can simulate selected unit operations (e.g. rectification, chemical reactor),
have developed a fundamental understanding of the potential and limitations of integrated tools to
design process plants,
can transfer selected unit operations into an intelligent 3D model using a planning tool.
2 Contents
Introduction to a simulation software
Unit operations
Modelling using selected examples
Interconnection of single models
Data transmission and further processing in tool modules
Virtual reality – application in process plant design
3 Forms of teaching
Operating a virtual reality application on the computer independently
process engineering, process plant design
Oral examination (duration: 45 min.) or written examination (duration: 120 min.) on the contents
mentioned above
The applicable type of examination will be announced at the beginning of the course.
Prof. Dr.-Ing. Walter Müller, Prof. Dr.-Ing. Martin Nachtrodt
Dörner, Virtual und Augmented Reality (VR/AR), Springer
Module number 21111
Workload 180 h
calculate the energetic optimisation of evaporation processes by thermocompression,
calculate the efficiency of the use of waste heat using the ORC method,
calculate the minimal amount of heat to feed into or discharge from a process plant using the
PINCH analysis method,
apply energy management systems (EMAS) to industrial processes,
calculate CO2 balances.
Conducting PINCH analyses on simple processes
Application of energy management systems
Assessment of evaporation systems
CO2 balancing
Written examination (duration: 120 min.)
Scope and extend will be announced at the beginning of the course.
Prof. Dr. Karl-Erich Köppke (a) and (b)
Module number 21021
The students
have in-depth knowledge of air pollutant and noise measurement by official authorities,
have in-depth knowledge of measurement systems for air pollutants and noise used in research,
have learned how to familiarise with specific methods to measure air pollutants and solve
measurement tasks independently,
have learned how to analyse research assignments in environmental metrology and solve them
using state-of-the-art measurement technology,
know the physical basics and practical limitations of immission and simulation models for air
pollutants and noise,
2 Contents
Measurement methods used in practice in accordance with legal provisions for measuring air
pollutants
Innovative measurement methods used and further developed in the environmental metrology
laboratory at the Faculty of Mechanical and Process Engineering
Measurement and assessment of noise over time and frequencies
Measurement of meteorological parameters in addition to and for the assessment of air pollutant
and noise immission
Advanced particulate measurement
Legal basis, norms and regulations
Current research work at the environmental metrology laboratory at the faculty
3 Forms of teaching
Bachelor’s degree
Prof. Dr. Konradin Weber, Prof. Dr. Frank Kameier
Material and publications of the environmental metrology laboratory at the faculty
Werner/Klein/Weber, Laser in der Umweltmesstechnik, Springer
Schrimer/Kuttler/Löbel/Weber, Lufthgiene und Klima, VDI
Baumbach, Luftreinhaltung, Springer
Sinambari/Sentpali, Ingenieurakustik: Physikalische Grundlagen und Anwendungsbeispiele,
Springer Fachmedien, Wiesbaden
Engineering Conferences
Module number 30011
Workload 180 h
Allocation to study programmes
Master SET, IWI, ME
The students can apply and extend the methodical and specialised technical knowledge acquired during their
studies. They have faced interdisciplinary questions, goal and deadline-oriented work in teams and, thus,
strengthening of their social competences, promotion of structured, cross-disciplinary thinking, rhetoric and
presentation.
2 Contents
Either independent work on a specific, motivating task with a practical orientation from the fields of production,
process, energy or environmental technology; or an interdisciplinary task in groups. Special emphasis is on
teamwork,
the necessity of obtaining data and documents by themselves and
the obligation of presenting the results in written and oral form.
3 Forms of teaching
lecturer
Subject-related bachelor’s degree as well as courses relevant to the specific project from the fields of process,
energy and/or environmental technology, management techniques, production
Participation in the project and successful presentation of the results
Various
understand how scientific and engineering conferences work,
know what to do to submit their own work to an international conference,
can employ common techniques of producing a scientific paper,
can identify relevant work of other researchers in relation to their own work and extract
similarities and distinctions,
can digest, condense, select and express information relevant to produce a thread of their own
research work,
can assess a scientific paper in oral form or as a poster.
2 Contents
Group work on selected conference papers, to train the technical understanding, recognition of
structure, distillation of core content and critical review
Exercises in writing up scientific or technical work
Exercises in scientific (poster and oral) presentation, using modern technical means
Discussion and assessment of scientific presentations
Tutorials and exercises in online search for relevant information in connection with publishing
research at an international conference
Small mock conference with poster session and short oral presentations
3 Forms of teaching
Submission of a scientific paper, participation in review process, poster preparation and
presentation
Completed paper and poster, successful short oral presentation of the poster
Attendance at the following mandatory sessions: introduction and registration, conference
session day, poster presentation day
Prof. Dr.-Ing. Thomas Zielke, Prof. Dr.-Ing. Matthias Neef
Alley, The craft of scientific presentations. Critical steps to succeed and critical errors to avoid,
2nd edn, New York, Springer, 2013
Alley, The craft of scientific writing. 4th edn,
New York, Springer, 2014
Wiley-Blackwell, 2013
New York, Oxford University Press, 2014
Holst, Scientific Paper Writing – A Survival Guide, CreateSpace Independent Publishing
Platform, Bergen, 2015
List of important, popular conferences within the scope of our courses:
http://icpr-eame.com
ISES Solar World Congress
Solar Heating and Cooling for Buildings and Industry conference (SHC)
ASME Turbo Expo ( https://www.asme.org)
Master ME, IWI, SET
The students are able to work on a complex problem from their field – independently and in a professional
manner, in accordance with scientific methods, within a prescribed period of time.
2 Contents
The thesis serves to work on a scientific assignment, within a prescribed extent and period of time (16
weeks). The subject of the thesis can be of theoretical or experimental nature and can originate from any
teaching or research field of the faculty.
3 Forms of teaching
The students must have successfully passed all modules, except the ones scheduled for the last semester.
None
Dean
Alternatively, the students can write their theses in the research department of an industrial enterprise or in
another scientific organisation of the professional field, if the thesis can be sufficiently supervised.
Master ME, IWI, SET
The candidates are able to present the results of their theses incl. technical principles, interdisciplinary
correlations and non-technical references orally, justify the theses independently, defend them against
objections and assess its importance for the practical application.
2 Contents
The colloquium is an oral examination complementing the thesis. The examiners of the thesis jointly
conduct and evaluate the colloquium. The colloquium can include a short presentation by the student on
the thesis contents and results.
3 Forms of teaching
Examiners’ confirmation that they graded the thesis with the minimum passing grade or better.
None
Dean
Course
Compulsory Elective Module 1 (to choose from list of elective modules)

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Last updated: April 2019 Module Manual Master Simulation